Hunyuan Multimodal Algorithm Researcher Intern(Omni-Modal)
Core
Research and development of Omni multimodal large models, including foundational model algorithm design, training data construction, and optimization of pre-training/SFT/RL.
Role type
Research intern (multimodal AI)
Builds
Foundational multimodal models and downstream application scenarios
Domain
Artificial Intelligence / Multimodal Large Models
Deliverable
research
Required skills
deep learning algorithms, large-scale multimodal data processing, high-quality data generation, model tuning for training/inference, distributed training/inference optimization
Preferred skills
Diffusion Models, Autoregressive Models, cross-modal research (audio-visual), ACM or NOI competitions
Technologies
CPU/GPU acceleration, distributed training frameworks
Responsibilities
Design and construct training data for multimodal models, analyze R&D bottlenecks to devise first-principles solutions, explore next-generation model architectures
Seniority
Intern
